Instructions to use CLMBR/existential-there-quantifier-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-3 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79ad46f5d4dd93aeec4323674d8f05a7c9fa48d600a82199003136caf303a546
- Size of remote file:
- 4.28 kB
- SHA256:
- e4d374e2f3a9c10c674644ce3f5648b62405f5d3ac7876f839e7fee89fcc565a
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